Casey, Michael A.. 1998. Understanding Musical Sound with Forward Models and Physical Models. In: Niall Griffith and Peter M Todd, eds. Musical Networks: Parallel Distributed Perception and Performance. Cambridge: MIT Press, pp. 45-63. ISBN 978-0262071819 [Book Section]

No full text available

Abstract or Description

This volume presents the most up-to-date collection of neural network models of music and creativity gathered together in one place. Chapters by leaders in the field cover new connectionist models of pitch perception, tonality, musical streaming, sequential and hierarchical melodic structure, composition, harmonization, rhythmic analysis, sound generation, and creative evolution. The collection combines journal papers on connectionist modeling, cognitive science, and music perception with new papers solicited for this volume. It also contains an extensive bibliography of related work. Contributors: Shumeet Baluja, M.I. Bellgard, Michael A. Casey, Garrison W. Cottrell, Peter Desain, Robert O. Gjerdingen, Mike Greenhough, Niall Griffith, Stephen Grossberg, Henkjan Honing, Todd Jochem, Bruce F. Katz, John F. Kolen, Edward W. Large, Michael C. Mozer, Michael P.A. Page, Caroline Palmer, Jordan B. Pollack, Dean Pomerleau, Stephen W. Smoliar, Ian Taylor, Peter M. Todd, C.P. Tsang, Gregory M. Werner.

Item Type:	Book Section
Departments, Centres and Research Units:	Computing
Dates:	Date Event 1998 Published
Item ID:	15181
Date Deposited:	01 Dec 2015 17:06
Last Modified:	20 Jun 2017 09:43
URI:	https://research.gold.ac.uk/id/eprint/15181

Edit Record (login required)